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Data Intern Jobs in Rye, NY (NOW HIRING)

Vendelux Inc

Part time Data Intern

New York, NY · On-site

The intern will handle various administrative, research, or data operations tasks for the marketing and data teams. For candidates with the right background, projects may include data analytics and ...

Ardian

Data Scientist Intern

New York, NY · On-site

Integrated within the data science team, the intern data scientist will work on data projects directly related to Ardian's portfolio assets (i.e. industrial companies in various sectors such as ...

Synchrony

BLP Intern - Data Analytics

Stamford, CT · On-site

... 1, the Intern Summer Series to meet and network with leaders around the business, and ongoing support from a team and mentors who are invested in your success. Data Analytics BLP Internship ...

Octaura

Intern, Data Engineering

New York, NY

As an intern on the data engineering team you will work directly with our senior data engineers, software engineers and data scientists to build and maintain the infrastructure and data pipelines ...

Octaura

Intern, Data Engineering

New York, NY · On-site

As an intern on the data engineering team you will work directly with our senior data engineers, software engineers and data scientists to build and maintain the infrastructure and data pipelines ...

Paramus Public Schools

Business Intern

Paramus, NJ · On-site

$16.65/hr

Familiarity with data management and spreadsheet software. Learning Opportunities: The Business Intern will gain exposure to: * Business operations and organizational management * Project ...

Paramus Public Schools

Business Intern

Paramus, NJ

$16.65/hr

Familiarity with data management and spreadsheet software. Learning Opportunities: The Business Intern will gain exposure to: * Business operations and organizational management * Project ...

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Data Intern information

See Rye, NY salary details

$12

$23

$44

How much do data intern jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for data intern in Rye, NY is $23.85, according to ZipRecruiter salary data. Most workers in this role earn between $18.32 and $25.96 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Data interns and data science professionals can start at any age, including 40 or older. Success in data science depends on skills, such as programming, statistics, and tools like Python or R, rather than age. Many individuals transition into data roles later in their careers through self-study, online courses, and certifications.

What are the key skills and qualifications needed to thrive as a Data Intern, and why are they important?

To thrive as a Data Intern, you typically need foundational knowledge in data analysis, statistics, and programming languages such as Python or R, often supported by coursework in computer science or a related field. Familiarity with data visualization tools (like Tableau or Power BI), spreadsheet software, and SQL databases is commonly expected. Strong attention to detail, problem-solving ability, and effective communication skills help interns interpret data and present findings clearly. These skills are crucial for accurately analyzing data, supporting business decisions, and contributing meaningfully to projects in a collaborative environment.

Is 23 an hour good for an internship?

For a Data Intern position, $23 an hour is above the federal minimum wage and generally considered competitive for internships in many regions, especially if the role involves data analysis, programming, or using tools like Excel or SQL. However, internship pay varies by location, industry, and company size, so it's important to compare with local standards and the internship's responsibilities.

What does a data intern do?

A data intern assists with collecting, cleaning, and analyzing data to support business decisions. They often use tools like Excel, SQL, or Python and may work under supervision to develop reports, dashboards, or data models. The role provides hands-on experience in data management and analysis within a professional environment.

What are the big 4 internships?

The Big 4 internships refer to internship programs offered by Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms provide opportunities in areas such as audit, consulting, tax, and advisory, often targeting students pursuing degrees in accounting, finance, or related fields. Internships typically last 8-12 weeks and may lead to full-time offers for high-performing interns.

What is the difference between Data Intern vs Data Analyst?

AspectData InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some experience
Work EnvironmentInternship setting, learning-focused, entry-levelFull-time role, responsible for analyzing data and reporting
Employer & Industry UsageInternships in tech, finance, healthcare, etc.Established companies across various industries

The main difference between a Data Intern and a Data Analyst lies in experience and responsibilities. Data Interns are typically students or recent graduates gaining initial exposure, while Data Analysts are more experienced professionals responsible for analyzing data, creating reports, and supporting decision-making. Internships serve as a stepping stone toward a full Data Analyst role, which requires more skills and experience.

What types of projects and tasks can a Data Intern typically expect to work on during their internship?

As a Data Intern, you can expect to be involved in a variety of hands-on projects such as cleaning and organizing datasets, assisting with data collection, and supporting the development of reports or dashboards. You may work closely with data analysts, data scientists, or business teams to help identify trends and uncover insights from raw data. This role often includes learning to use data analysis tools like Excel, Python, or SQL, and contributing to ongoing team projects while gaining exposure to real-world data challenges. Interns are usually given guidance and mentorship, making this a great opportunity to build foundational skills and understand how data-driven decisions are made in the organization.
What are the most commonly searched types of Data jobs in Rye, NY? The most popular types of Data jobs in Rye, NY are:
What cities near Rye, NY are hiring for Data Intern jobs? Cities near Rye, NY with the most Data Intern job openings:
Data Intern jobs near you
Part time Data Intern

Part time Data Intern

Vendelux Inc

New York, NY • On-site

Part-time

Posted 19 days ago

Job description

Vendelux is building the category-defining platform for event marketing intelligence.
Events are one of the largest and most impactful marketing channels, yet historically one of the least measurable. Vendelux brings transparency and performance to this space - helping companies discover, evaluate, and optimize their event strategy with data.
Our platform powers thousands of event decisions by delivering proprietary, AI-driven insights across hundreds of thousands of events globally. At the core of our platform is a robust ecosystem of event organizer partnerships - where organizers share first-party data, enabling richer insights for customers while receiving benchmarking and audience intelligence in return. From identifying the highest ROI conferences to enabling targeted meeting programs, Vendelux helps companies turn events into a predictable and scalable growth engine.
In addition, Vendelux Meetings extends our platform by turning insights into pipeline - using AI to identify high-value attendees and proactively book 1:1 meetings between our customers and their ideal prospects at events. This enables go-to-market teams to drive measurable ROI and maximize every event interaction.
Founded in 2021, Vendelux is a Series B SaaS company backed by top-tier investors including FirstMark. We partner with many of the fastest-growing companies in the world, and our team includes leaders from Bain, ZoomInfo, Shutterstock, FanDuel, Compass, Airbnb, Forter and beyond.
We are offering a paid internship to an entry-level person looking to break into tech and startups. This is an onsite NYC role for a local college or MBA student who can commit around 20+ hours/week during the winter/spring semester. This could develop into a full-time role for the right person.
The intern will handle various administrative, research, or data operations tasks for the marketing and data teams. For candidates with the right background, projects may include data analytics and insights using SQL.
Key Responsibilities
  • Assist with event research to identify and validate key data inputs for AI models
  • Review and resolve data errors in the database; collaborate with team on patterns and potential signals
  • Use SQL and dashboarding tools to perform data analysis to identify insights about events, attendees, and organizations attending events
  • Leverage AI-enabled tools to generate and manage sensitive datasets

Qualifications
  • Based in New York City and able to work from our midtown office
  • Available ~20+ hours per week
  • Detail-oriented with high level of ownership
  • Can-do attitude willing to take on whatever projects are needed

Why Join Us
  • Direct product impact: Your models will shape how event marketers discover, connect, and measure ROI.
  • Product market fit: Customers love our platform; now it's about enhancing the user experience and scaling with AI.
  • Ownership: You'll set the standard for how we build, evaluate, and ship AI at Vendelux.
  • Growth: Work on cutting-edge problems in LLMs, recommendation systems, and applied ML.

Team: Join a collaborative, ambitious group with backgrounds at top tech and consulting firms.
Not all candidates will check all of the requirements listed above and that's ok! We are open to great people from non-traditional backgrounds.
Vendelux is proud to be an equal opportunity workplace. We are committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.

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